MACE

@interface MACE : Algorithm

class MACE : Algorithm

Minimum Average Correlation Energy Filter useful for authentication with (cancellable) biometrical features. (does not need many positives to train (10-50), and no negatives at all, also robust to noise/salting)

 see also: CITE: Savvides04

 this implementation is largely based on: https://code.google.com/archive/p/pam-face-authentication (GSOC 2009)

 use it like:


 Ptr<face::MACE> mace = face::MACE::create(64);

 vector<Mat> pos_images = ...
 mace->train(pos_images);

 Mat query = ...
 bool same = mace->same(query);



 you can also use two-factor authentication, with an additional passphrase:


 String owners_passphrase = "ilikehotdogs";
 Ptr<face::MACE> mace = face::MACE::create(64);
 mace->salt(owners_passphrase);
 vector<Mat> pos_images = ...
 mace->train(pos_images);

 // now, users have to give a valid passphrase, along with the image:
 Mat query = ...
 cout << "enter passphrase: ";
 string pass;
 getline(cin, pass);
 mace->salt(pass);
 bool same = mace->same(query);


 save/load your model:

 Ptr<face::MACE> mace = face::MACE::create(64);
 mace->train(pos_images);
 mace->save("my_mace.xml");

 // later:
 Ptr<MACE> reloaded = MACE::load("my_mace.xml");
 reloaded->same(some_image);

Member of Face